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Understanding Off-the-Books Politics: Conducting Inference on the Determinants of Sensitive Behavior with Randomized Response Surveys

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  • Gingerich, Daniel W.

Abstract

This study presents a survey-based method for conducting inference into the determinants of sensitive political behavior. The approach combines two well-established literatures in statistical methods in the social sciences: the randomized response (RR) methodology utilized to reduce evasive answer bias and the generalized propensity score methodology utilized to draw inferences about causal effects in observational studies. The approach permits one to estimate the causal impact of a multivalued predictor variable of interest on a given sensitive behavior in the face of unknown interaction effects between the predictor and the confounders as well as nonlinearities in the relationship between the confounders and the sensitive behavior. Simulation results point to the superior performance of the RR relative to direct survey questioning using this method for samples of moderate to large size. The utility of the approach is illustrated through an application to corruption in the public bureaucracy in three countries in South America.

Suggested Citation

  • Gingerich, Daniel W., 2010. "Understanding Off-the-Books Politics: Conducting Inference on the Determinants of Sensitive Behavior with Randomized Response Surveys," Political Analysis, Cambridge University Press, vol. 18(3), pages 349-380, July.
  • Handle: RePEc:cup:polals:v:18:y:2010:i:03:p:349-380_01
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    Cited by:

    1. Andy C. Y. Chong & Amanda M. Y. Chu & Mike K. P. So & Ray S. W. Chung, 2019. "Asking Sensitive Questions Using the Randomized Response Approach in Public Health Research: An Empirical Study on the Factors of Illegal Waste Disposal," IJERPH, MDPI, vol. 16(6), pages 1-15, March.
    2. Burgstaller, Lilith & Feld, Lars P. & Pfeil, Katharina, 2022. "Working in the shadow: Survey techniques for measuring and explaining undeclared work," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 661-671.
    3. Blume, Andreas & Lai, Ernest K. & Lim, Wooyoung, 2019. "Eliciting private information with noise: The case of randomized response," Games and Economic Behavior, Elsevier, vol. 113(C), pages 356-380.
    4. Leopoldo Fergusson & Carlos Molina & Juan Felipe Riaño, 2019. "Consumers as VAT “Evaders”: Incidence, Social Bias, and Correlates in Colombia," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 21-67, April.
    5. Winston Chou & Kosuke Imai & Bryn Rosenfeld, 2020. "Sensitive Survey Questions with Auxiliary Information," Sociological Methods & Research, , vol. 49(2), pages 418-454, May.
    6. Daniel Gingerich & Virginia Oliveros & Ana Corbacho & Mauricio Ruiz-Vega, 2015. "Corruption as a Self-Fulfilling Prophecy: Evidence from a Survey Experiment in Costa Rica," IDB Publications (Working Papers) 88334, Inter-American Development Bank.
    7. Kim, Sahrok & Praveen Parboteeah, K. & Cullen, John B. & Jeong, Nara, 2022. "Social institutions approach to women’s firm ownership and firm bribery activity: A study of small-sized firms in emerging markets," Journal of Business Research, Elsevier, vol. 144(C), pages 1333-1349.

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